000 02230cam a22002775a 4500
001 16873036
005 20151108155456.0
008 110715s2011 enka frb 001 0 eng d
020 _a9780470682289 (paper)
040 _aDLC
_beng
_cDLC
_dDLC
_dEG-ScBUE
_dEG-ScBUE
082 0 4 _a006.4015195
_bWEB
_222
100 1 _aWebb, A. R.
_938690
_q(Andrew R.)
245 1 0 _aStatistical pattern recognition /
_cAndrew R. Webb, Keith D. Copsey.
250 _a3rd ed.
260 _aWest Sussex :
_bJohn Wiley & Sons,
_c2011.
300 _axxiv, 642 p. :
_bill. ;
_c25 cm.
500 _aIndex : p. 637-642.
504 _aBibliography : p. 591-636.
520 _a" Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from 'open-book' questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security."
520 _a"The book describes techniques for analysing data comprising measurements made on individuals or objects."
650 0 _aPattern perception
_xStatistical methods.
_2BUEsh
_911690
651 _2BUEsh
653 _bCOMSCI
_cSeptember2015
_cNovember2015
700 1 _aCopsey, Keith D.
942 _2ddc
_k006.4015195 WEB
999 _c20793
_d20765